diff --git a/.github/workflows/review.yml b/.github/workflows/review.yml index eb4a5b9..fb444e9 100644 --- a/.github/workflows/review.yml +++ b/.github/workflows/review.yml @@ -1,27 +1,39 @@ -name: Code Review Pipeline +name: PR Summary and Code Review on: pull_request: - types: [opened, synchronize, reopened] + types: + - opened + - synchronize + - reopened + +permissions: + contents: read + pull-requests: write + issues: write jobs: - code_review: + pr_summary: runs-on: ubuntu-latest steps: + # Checkout repository - name: Checkout Code uses: actions/checkout@v3 + # Set up Python for PR summaries - name: Set Up Python uses: actions/setup-python@v4 with: python-version: '3.9' + # Install Python dependencies - name: Install Python Dependencies run: | python -m pip install --upgrade pip pip install requests - - name: Run Code Review + # Run AI Analysis (PR Summary Only) + - name: Generate PR Summary env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} GITHUB_TOKEN: ${{ secrets.G_TOKEN }} @@ -31,99 +43,66 @@ jobs: import requests import json - # Helper function to extract line numbers - def extract_line_number(issue_text): - try: - if "Line" in issue_text: - line_part = issue_text.split("Line")[1].split(":")[0].strip() - return int(line_part) - except (ValueError, IndexError): - pass - return None - - # Load GitHub event data - event_path = os.getenv("GITHUB_EVENT_PATH") + # Gather GitHub event details + event_path = os.environ.get('GITHUB_EVENT_PATH') with open(event_path, 'r') as f: event = json.load(f) - pr_number = event["pull_request"]["number"] - repo_full_name = event["repository"]["full_name"] + # Extract PR and repo details + pr_number = event['pull_request']['number'] + repo_full_name = event['repository']['full_name'] + token = os.environ.get('GITHUB_TOKEN') + openai_key = os.environ.get('OPENAI_API_KEY') - # Fetch PR diff + # Get PR diff headers = { - "Authorization": f'token {os.getenv("GITHUB_TOKEN")}', - "Accept": "application/vnd.github.v3.diff", + 'Authorization': f'token {token}', + 'Accept': 'application/vnd.github.v3.diff', } - diff_url = event["pull_request"]["url"] + "/files" + diff_url = event['pull_request']['url'] + "/files" pr_files = requests.get(diff_url, headers=headers).json() - # Prepare inline comments - inline_comments = [] + diff_text = "" + for fdata in pr_files: + filename = fdata['filename'] + patch = fdata.get('patch', '') + diff_text += f"File: {filename}\\nPatch:\\n{patch}\\n\\n" - for file in pr_files: - filename = file["filename"] - patch = file.get("patch", "") + # Generate PR summary using OpenAI + summary_prompt = f"Summarize the following pull request changes in a concise, technical manner:\\n\\n{diff_text}" + ai_headers = {"Content-Type": "application/json", "Authorization": f"Bearer {openai_key}"} + data_summary = { + "model": "gpt-4o-mini", + "messages": [{"role": "user", "content": summary_prompt}], + "temperature": 0.7 + } + summary_response = requests.post("https://api.openai.com/v1/chat/completions", headers=ai_headers, json=data_summary) + summary_response.raise_for_status() + summary = summary_response.json()['choices'][0]['message']['content'].strip() - if not patch.strip(): - continue + # Post AI Pull Request Summary + comment_url = f"https://api.github.com/repos/{repo_full_name}/issues/{pr_number}/comments" + summary_comment = { + "body": f"**AI Pull Request Summary:**\\n{summary}" + } + summary_comment_response = requests.post(comment_url, headers={'Authorization': f'token {token}', 'Accept': 'application/vnd.github.v3+json'}, json=summary_comment) + summary_comment_response.raise_for_status() - # Send patch to OpenAI for review - prompt = f""" - Analyze the following code patch and find: - - Syntax errors - - Logical issues - - Security vulnerabilities - For each issue, specify: - - Line number - - Problem description - - Suggested fix - - Patch: - {patch} - """ - openai_headers = { - "Authorization": f'Bearer {os.getenv("OPENAI_API_KEY")}', - "Content-Type": "application/json", - } - openai_payload = { - "model": "gpt-4o-mini", - "messages": [{"role": "user", "content": prompt}], - "temperature": 0.3, - } - response = requests.post( - "https://api.openai.com/v1/chat/completions", - headers=openai_headers, - json=openai_payload, - ) - response.raise_for_status() - ai_output = response.json()["choices"][0]["message"]["content"] - - # Process AI output - for issue in ai_output.split("\n"): - if "Line" in issue: - line_number = extract_line_number(issue) - if line_number: - description = issue.split(": ", 1)[-1].strip() - inline_comments.append( - { - "path": filename, - "line": line_number, - "side": "RIGHT", - "body": f"**AI Code Review:**\n{description}", - } - ) - - # Submit review comments - if inline_comments: - review_url = f"https://api.github.com/repos/{repo_full_name}/pulls/{pr_number}/reviews" - review_data = { - "event": "COMMENT", - "body": "AI-generated inline comments for code review.", - "comments": inline_comments, - } - review_response = requests.post(review_url, headers=headers, json=review_data) - review_response.raise_for_status() - print("Code review comments posted successfully.") - else: - print("No issues found in the code.") + print("PR Summary posted successfully.") EOF + + code_review: + runs-on: ubuntu-latest + steps: + # Checkout repository + - name: Checkout Repository + uses: actions/checkout@v4 + + # Run GPT Code Reviewer (handles all code review tasks) + - name: Run GPT Code Reviewer + uses: PierreGode/GPTcode-reviewer@main + with: + GITHUB_TOKEN: ${{ secrets.G_TOKEN }} + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + OPENAI_API_MODEL: "gpt-4o-mini" + exclude: "**/*.json, **/*.md"